The opportunity starts with rethinking the work.
Adding AI to an existing process can save effort. Rethinking the process opens up a larger opportunity: a better result, a simpler service or a product you could not previously justify building.
My starting point is the result the business needs. Who uses it? What makes it good? Which parts of the current process exist because someone once had to gather, move or check information by hand?
Years in architecture and transformation taught me how much work goes into making existing processes function. Building with AI has made me more willing to question those processes before designing the solution.
Start again with the job
Take a recurring piece of work and describe the outcome without naming the current system or document. A monthly report might really be a decision about where to intervene. That opens up different ways to provide the evidence, surface exceptions and get a decision made.
Make quality part of the design
Capture the standards your experienced people use. Give the workflow approved source material, examples of good work and checks for common errors. Decide where a person needs to exercise judgement. Measure the complete task, including review and correction time.
Teach the approach through real work
An AI-first delivery culture develops when people can question the brief, try a different method and compare the results. Work alongside a team on a real problem. Save the useful skills and tests so the next person starts from something proven.
Questions for your team
- What result does the customer or business actually need?
- Which steps could disappear if we designed the work today?
- How will we know the new approach is better?